Abstract
Magnesium alloys are inherently negative electrochemical potential and are very reactive compared to other engineering metals. They are prone to galvanic corrosion and micro cracks. Various coating materials or Alternatives and the required criteria and sub-criteria for the selection of Alternatives for AZ31B magnesium alloy substrate are identified by means of literature review. Criteria weight and the rank of the alternatives are usually vague and hence uncertainty prevails. The best Alternative from several potential “Candidates”, subject to several criteria and sub-criteria, needs to get decided. In such cases, multi criteria decision making (MCDM) techniques help in determining the MOST suitable coating material. This paper concentrates on the selection of coating material for the magnesium alloy substrate. The problem is subjective, uncertain and equivocal in nature. Hence in this study, fuzzy analytic hierarchy process (AHP) is applied to obtain the weights of criteria and technique for order performance by similarity to ideal solutions (TOPSIS) is utilised for ranking the Alternatives.
Similar content being viewed by others
Abbreviations
- Ai :
-
Alternatives
- Cj :
-
Criteria
- α:
-
Degree of confidence
- β:
-
Risk index
References
Thomas Saaty L 2008 Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1(1): 83–98
Zimmermann H-J 2001 Fuzzy set theory and its applications. Springer Science+Business Media, LLC, ISBN 978-94-010-3870-6 ISBN 978-94-010-0646-0 (eBook). https://doi.org/10.1007/978-94-010-0646-0
Chauhan A and Vaish R 2013 Hard coating material selection using multi-criteria decision making. Mater. Des. 44: 240–245
Prakash C and Barua M K 2015 Integration of AHP-TOPSIS method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment. J. Manuf. Syst. (385)
Ashby M F, Bréchet Y J M, Cebon D and Salvo L 2004 Selection strategies for materials and processes. Mater. Des. 25: 51–67
Rajesh R, Pugazhendhi V and Ganesh K 2009 An analytic model for selection of and allocation among third party logistics service providers. Int. J. Enterp. Netw. Manag. 3(3).
Sun C-C 2010 A performance evaluation model by integrating fuzzy AHP and Fuzzy TOPSIS methods. Expert Syst. Appl. 37: 7745–7754
Dagdeviren M, Yavuz S and Kılınc N 2009 Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Syst. Appl. 36: 8143–8151
Dobrzánski L A and Madejski L A 2006 Prototype of an expert system for selection of coatings for metals. J. Mater. Process. Technol. (175): 163–172
Hwang C L and Yoon K 1981 Multiple attribute decision making: methods and applications. Springer-Verlag, New York. https://doi.org/10.1007/978-3-642-48318-9
Aruldoss M, Miranda Lakshmi T and PrasannaVenkatesan V 2013 A survey on multi criteria decision making methods and its applications. Am. J. Inf. Syst. 1(1): 31–43
Jee D-H and Kang K-J 2000 A method for optimal material selection aided with decision making theory. Mater. Des. 21: 199–206
Athanasopoulo G, Riba C R and Athanasopoulou C 2009 A decision support system for coating selection based on fuzzy logic and multi-criteria decision making. Expert Syst. Appl. 36: 10848–10853
Krishna Veni K, Rajesh R and Pugazhendhi S 2012 Development of decision making model using Integrated AHP and DEA for vendor selection. Procedia Eng. 38: 3700–3738
Kulu P and Pihl T 2001 Selection criteria for wear resistant powder coatings under extreme erosive wear conditions. JTTEE 5(11): 517–522
Mark Velasquez and Patrick Hester T 2013 An analysis of multi-criteria decision making methods. Int. J. Oper. Res. 10(2): 56–66
Calıskan H 2013 Selection of boron based tribological hard coatings using multi-criteria decision making methods. Mater. Des. 50: 742–749
Holleck H 1986 Material selection for hard coatings. J. Vac. Sci. Technol. A 4: 2661
Khorshidi R and Hassani A 2013 Comparative analysis between TOPSIS and PSI methods of materials selection to achieve a desirable combination of strength and workability in Al/SiC composite. Mater. Des. 52: 999–1010
Jajimoggala S 2013 Decision making model for material selection using a hybrid MCDM technique. Int. J. Appl. Decis. Sci. 6(2)
Ghadai R K, Kalita K, Mondal S C and Swain B P 2019 Genetically optimized diamond-like carbon thin film coatings. Mater. Manuf. Process. Early Access: APR 2019, https://doi.org/10.1080/10426914.2019.1594273
Chakraborti N 2014 Promise of multiobjective genetic algorithms in coating performance formulation. Surf. Eng. 30: 79–82
Kuroda S, Fukushima T, Sasaki M and Kodama T 2002 Microstructure and corrosion resistance of HVOF sprayed 316L Stainless Steel and Hastelloy C Coatings. Mater. Trans. 43(12): 3177–3183
Lindner T, Kutschmann P, Loobel M and Lampke T 2018 Hardening of HVOF-sprayed austenitic stainless-steel coatings by gas nitriding. Coatings 8: 348. https://doi.org/10.3390/coatings8100348
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
PRASAD, R.V., RAJESH, R. & THIRUMALAIKUMARASAMY, D. Selection of coating material for magnesium alloy using Fuzzy AHP-TOPSIS. Sādhanā 45, 23 (2020). https://doi.org/10.1007/s12046-019-1261-3
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12046-019-1261-3